Predictor Of Mortality Research Articles

Similar Outcomes in Males and Females Undergoing Surgery for Infective Endocarditis.

Background: Sex-based differences in mortality have been previously observed in patients with surgically treated infective endocarditis. We sought to evaluate the risk factors leading to this difference. Methods: A retrospective cohort from three centers in Israel comprising 376 surgically treated patients, comparing short- and long-term mortality rates and risk factors between female and male patients. Results: Compared to male patients, female patients had higher rates of hypertension (62% vs. 48%), higher rates of Gram-negative infections (20% vs. 11%), and more mitral valve replacement (55% vs. 42%). Diabetes and age were the most significant predictors for mortality and did not differ between female and male patients. In-hospital mortality rates did not differ between female and male patients (29% vs. 26%), and the difference in long-term mortality was not statistically significant (46% vs. 36% p = 0.088). Conclusions: No statistical difference was observed in short- and long-term mortality between female and male patients, most likely due to a lack of difference in the rates of important risk factors such as diabetes and age. Mortality rates decreased in the last 10 years, and a good prognosis is observed for patients surviving the initial 30 days after surgery.

Change of self-rated physical health predicts mortality in aging individuals: results of a population-based cohort study

BackgroundSelf-rated physical health (SRPH) is known as an important predictor of mortality. Previous studies mostly used baseline values of self-rated health to predict long-term mortality. The effect of change in self-rated physical health on mortality during the course of aging has rarely been researched. The present study aimed to determine SRPH over time in women and men of an aging population, assess whether and how change in SRPH affects mortality while adjusting for known determinants of mortality, and test effect modification by sex on the relation between course of SRPH and mortality.MethodsData of N = 12,423 respondents of the 5-year follow-up of the Gutenberg Health Study (GHS) with participation at the baseline assessment were analysed. All-cause mortality from 5-year follow-up onwards was defined as the primary outcome. SRPH was assessed by a single item. Cox proportional hazards models with adjustment for age, sex, socio-economic status and physical diseases were fitted to assess the predictive power of baseline score and course of SRPH. Additionally, effect modification by sex was assessed.ResultsDuring a median follow-up period of 7.3 years (quartiles 6.0-8.5 years), 618 (5%) participants died. Overall, 70.9% of the participants indicated good or very good SRPH at baseline (T1) and follow-up (T2), 6.9% rated their SRPH as not so good at T1 and T2, and 0.6% reported bad SRPH at T1 and T2. An improvement of SRPH was indicated by 9.6% and 12.0% indicated deterioration of their SRPH. Change in SRPH added substantial predictive information to the Cox proportional hazards models, when adjusting for relevant covariates. In men, deterioration and constantly bad SRPH were associated with the strongest increase in risk of mortality by 87%, resp. 228%. While improvements increased mortality risk in men (67%), women with an improved SRPH had a lower risk (57%).ConclusionA sizeable subgroup of aging participants reported deterioration of SRPH over five years. The association between change of SRPH and mortality is modified by sex. Deterioration of SRPH predicts mortality over baseline-assessment even when adjusted for relevant covariates. SRPH should be assessed regularly as part of an older individual’s health evaluation. Deterioration, constantly bad and improved SRPH should be taken seriously as unfavorable prognostic indicators, the latter only in men.

Predictors of Outcomes and a Weighted Mortality Score for Moderate to Severe Subdural Hematoma.

As the incidence of subdural hematoma is increasing, it is important to understand symptomatology and clinical variables associated with treatment outcomes and mortality in this population; patients with subdural hematoma were selected from the National Inpatient Sample (NIS) Database between 2016 and 2020 using International Classification of Disease 10th Edition (ICD10) codes. Moderate-to-severe subdural hematoma patients were identified using the Glasgow Coma Scale (GCS). Multivariate regression was first used to identify predictors of in-hospital mortality and then beta coefficients were used to create a weighted mortality score. Of 29,915 patients admitted with moderate-to-severe subdural hematomas, 12,135 (40.6%) died within the same hospital admission. In a multivariate model of relevant demographic and clinical covariates, age greater than 70, diabetes mellitus, mechanical ventilation, hydrocephalus, and herniation were independent predictors of mortality (p < 0.001 for all). Age greater than 70, diabetes mellitus, mechanical ventilation, hydrocephalus, and herniation were assigned a "1" in a weighted mortality score. The ROC curve for our model showed an area under the curve of 0.64. Age greater than 70, diabetes mellitus, mechanical ventilation, hydrocephalus, and herniation were predictive of mortality. We created the first clinically relevant weighted mortality score that can be used to stratify risk, guide prognosis, and inform family discussions.

Geriatric Trauma Outcome Score as a Mortality Predictor in Isolated Moderate to Severe Traumatic Brain Injury: A Single-Center Retrospective Study.

Traumatic brain injury (TBI) is a major cause of mortality and disability worldwide, with severe cases significantly increasing the risk of complications and long-term mortality. The Geriatric Trauma Outcome Score (GTOS), based on age, injury severity, and transfusion need, has been validated for predicting mortality in older trauma patients, but its utility in predicting mortality for TBI patients remains unexplored. This retrospective study included 5543 adult trauma patients with isolated moderate to severe TBI, defined by head Abbreviated Injury Scale (AIS) scores of ≥ 3, from 1998 to 2021. GTOS was calculated with the following formula: age + (Injury Severity Score × 2.5) + 22 (if transfused within 24 h). The area under the receiver operating characteristic curve (AUROC) assessed GTOS's ability to predict mortality. The optimal GTOS cutoff value was determined using Youden's index. Mortality rates were compared between high- and low-GTOS groups, separated by the optimal GTOS cutoff value, including a propensity score-matched analysis adjusting for baseline characteristics. Among 5543 patients, mortality was 8.3% (462 deaths). Higher mortality is correlated with male sex, older age, higher GTOS, and comorbidities like hypertension, coronary artery disease, and end-stage renal disease. The optimal GTOS cut-off for mortality prediction was 121.5 (AUC = 0.813). Even when the study population was matched by propensity score, patients with GTOS ≥121.5 had much higher odds of death (odds ratio 2.64, 95% confidence interval 1.93-3.61, p < 0.001) and longer hospital stays (mean 16.7 vs. 12.2 days, p < 0.001) than those with GTOS < 121.5. These findings support the idea that GTOS is a useful tool for risk stratification of in-hospital mortality in isolated moderate to severe TBI patients. However, we encourage further research to refine GTOS for better applicability in TBI patients.

Retrospective analysis of molecular characteristics, risk factors, and outcomes in carbapenem-resistant Klebsiella pneumoniae bloodstream infections

BackgroundKlebsiella pneumoniae (KP) is the second most prevalent Gram-negative bacterium causing bloodstream infections (BSIs). In recent years, the management of BSIs caused by KP has become increasingly complex due to the emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP). Although numerous studies have explored the risk factors for the development of CRKP-BSIs, the mortality of patients with KP-BSIs, and the molecular epidemiological characteristics of CRKP, the variability in data across different populations, countries, and hospitals has led to inconsistent conclusions. In this single-center retrospective observational study, we utilized logistic regression analyses to identify independent risk factors for CRKP-BSIs and factors associated with mortality in KP-BSI patients. Furthermore, a risk factor-based prediction model was developed. CRKP isolates underwent whole-genome sequencing (WGS), followed by an evaluation of microbiological characteristics, including antimicrobial resistance and virulence genes, as well as epidemiological characteristics and phylogenetic analysis.ResultsOur study included a total of 134 patients with KP-BSIs, comprising 50 individuals infected with CRKP and 84 with carbapenem-susceptible Klebsiella pneumoniae (CSKP). The independent risk factors for CRKP-BSIs were identified as gastric catheterization (OR = 9.143; CI = 1.357–61.618; P = 0.023), prior ICU hospitalization (OR = 4.642; CI = 1.312–16.422; P = 0.017), and detection of CRKP in non-blood sites (OR = 8.112; CI = 2.130-30.894; P = 0.002). Multivariate analysis revealed that microbiologic eradication after 6 days (OR = 3.569; CI = 1.119–11.387; P = 0.032), high Pitt bacteremia score (OR = 1.609; CI = 1.226–2.111; P = 0.001), and inappropriate empirical treatment after BSIs (OR = 6.756; CI = 1.922–23.753; P = 0.003) were independent risk factors for the 28-day mortality in KP-BSIs. The prediction model confirmed that microbiologic eradication after 6.5 days and a Pitt bacteremia score of 4.5 or higher were significant predictors of the 28-day mortality. Bioinformatics analysis identified ST11 as the predominant CRKP sequence type, with blaKPC−2 as the most prevalent gene variant. CRKP stains carried multiple plasmid-mediated resistance genes along with some virulence genes. Phylogenetic analysis indicated the presence of nosocomial transmission of ST11 CRKP within the ICU.ConclusionsThe analysis of risk factors for developing CRKP-BSIs and the association between KP-BSIs and 28-day mortality, along with the development of a risk factor-based prediction model and the characterization of CRKP strains, enhances clinicians’ understanding of the pathogens responsible for BSIs. This understanding may help in the timely administration of antibiotic therapy for patients with suspected KP-BSIs, potentially improving outcomes.

Predictive value of the triglyceride-glucose index for short- and long-term all-cause mortality in patients with critical coronary artery disease: a cohort study from the MIMIC-IV database

BackgroundTriglyceride-glucose (TyG) index is linked to a poor prognosis for cardiovascular condition and is a valid indicator of insulin resistance. This study evaluated the potential predicting usefulness of the TyG index for all-cause mortality, both short- and long-term, for those concerning critical coronary artery disease (CAD).MethodsIn this study, information from 5452 critically-ill individuals with CAD in intensive care units were gathered from the Medical Information Marketplace in Intensive Care (MIMIC-IV) database. Depending on the TyG index degree, the patients were categorized into three categories. Clinical outcomes included short-term (30-day) and long-term (365-day) all-cause mortality. The corresponding relationships involving the TyG index and clinical outcomes were examined by deploying restricted cubic spline (RCS) regression analysis and Cox proportional risk regression.ResultsAn increased TyG index was associated with increased 30-day (Tertile 1: 6.1%, Tertile 2: 7.3%, Tertile 3: 9.2%, P = 0.001) and 365-day (Tertile 1: 15.2%, Tertile 2: 17.0%, Tertile 3: 19.6%, P = 0.002) death rates across all causes. Cox regression with multiple variables indicates that higher TyG indices were linked to higher all-caused mortality hazard ratios throughout the short and long terms, with a larger predictive value for the former. RCS regression analyses suggested that the risk of death was notably and linearly that is associated with TyG index.ConclusionsThe TyG index is a reliable predictor of all-cause mortality at different stages in critically ill CAD patients, with a higher predictive ability for short-term mortality. Early intervention in patients with elevated TyG index may improve their survival outcomes. Future research should delve into understanding its pathophysiological mechanisms and develop intervention strategies based on the TyG index, providing new insights and strategies to enhance the outlook for critically ill CAD patients.

Effect of Inter-Hospital Transfer on Mortality in Patients Admitted through the Emergency Department.

Background: Despite advancements in emergency medical systems, inter-hospital transfer (IHT) remains a critical component. Several studies have analyzed the impact of IHT on patient outcomes. Some studies have reported positive effects, indicating that transfers can improve patient prognosis. However, other studies have suggested that transfers may worsen outcomes. We investigated whether IHT is associated with in-hospital mortality. Methods: This retrospective observational study utilized data on patient outcomes from the National Emergency Department Information System (NEDIS) from 2016 to 2018, focusing on patients admitted to hospitals after visiting the emergency department (ED). The primary outcome was the in-hospital mortality rate. Results: This study included 2,955,476 adult patients admitted to emergency medical centers, with 832,598 (28.2%) undergoing IHT. The in-hospital mortality rate was significantly higher in the transfer group (6.9%) than in the non-transfer group (4.8%). Multiple logistic regression analysis revealed that IHT was an independent predictor of in-hospital mortality (adjusted odds ratio [aOR] 1.114, 95% confidence interval [CI] 1.101-1.128) after adjusting for variables. Sub-analysis indicated that higher severity scores, shorter symptom onset-to-arrival duration, and diagnoses of infectious or respiratory diseases were significantly associated with increased in-hospital mortality among transferred patients. Conclusions: This study identifies IHT as a significant factor associated with increased in-hospital mortality. Additionally, it suggested the need for policies to mitigate the risks associated with IHT, particularly in critically ill patients, those with the acute phase response, and those with infectious, genitourinary, and respiratory diseases.

Variation in intention-to-treat survival by MELD subtypes: all models created for end-stage liver disease are not equal

Background & AimsKidney dysfunction is a major determinant of prognosis in patients with decompensated cirrhosis awaiting transplantation. We hypothesized that for identical MELD scores at listing, outcomes before and after liver transplantation may vary if the predominant driver of the MELD score is serum creatinine versus serum bilirubin or INR. MethodsWe evaluated all adult patients registered for liver transplantation (LT) between 2016 – 2020 and excluded patients receiving MELD exceptions or undergoing dual organ transplantation. Using K-Means clustering analysis, we classified each patient as MELD-Br, MELD-INR or MELD-Cr depending on the dominant variable for their MELD score. The primary outcome was intent-to-treat survival, defined as survival within 1 year from listing with or without LT. ResultsMELD scores of LT waitlist registrants clustered into 3 subtypes: MELD-Br (n=13,658), MELD-INR (n=13,809), and MELD-Cr (n=12,412). One-year ITT survival was 78% (MELD-Br), 75% (MELD-INR), and 65% (MELD-Cr), p<0.01. ITT survival was lower for each MELD subtype for females compared to males (e.g. MELD Cr 63% females vs 67% males, p<0.0001). MELD-Cr subtype had the highest MELD at listing (MELD Cr 23.4 vs MELD-Br 19.2 vs MELD INR 21.0) and the largest decline in MELD over 3 months (23% vs. 12% vs 21%). In adjusted analyses including MELD Na, MELD-Cr compared to the other subtypes was associated with higher WL mortality (HR 1.339, 95% CI 1.279-1.402) and lower LT rates (HR 0.688, 95% CI 0.664-0.713). ConclusionsFor equivalent listing practices, registrants with MELD-Cr subtype have lower ITT survival. MELD subtype may serve as a more sophisticated variable for dynamic assessment of risk of mortality, to inform models for organ allocation. Impact and ImplicationsThe MELD score is an excellent predictor of waitlist mortality; however, our work highlights that the driver of a patient’s score MELD score matters and particularly those driven by elevated creatinine have a lower 1-year ITT mortality. The 1-year ITT mortality is also lower for women compared to men within the Cr-dominant subtype. These results are important for physicians and patients undergoing LT evaluation as creatinine may serve as a marker of prognosis and even if the creatinine improves the prognosis remains poor, necessitating discussion about alternative pathways for transplant. Our work also highlights that the type of kidney injury matters, in that those AKI were more likely to die or remain on the waitlist compared to those with CKD within the creatinine dominant subtype.

New onset status epilepticus and its long-term outcome: A cohort study

PurposeNew onset status epilepticus (NOSE), a subtype of status epilepticus, is a neurological emergency associated with significant morbidity and mortality. This study aimed to analyze the phenotypic spectrum and outcomes of patients presenting with NOSE. MethodsThis prospective and retrospective descriptive study included patients presenting with NOSE over a 10-year period. Data collected included patient demographics, phenotypic characteristics of SE and its etiology, Status Epilepticus Severity Score (STESS), SE classification Axis-II, and Modified Rankin Scale (mRS) scores at admission and discharge. Functional outcomes and seizure status were assessed at least 6 months post-discharge. Prognostic factors for mortality and the development of epilepsy were also analyzed. ResultsA total of 208 patients were included, with a mean age of 41.97 ± 21.66 years, and a male predominance (57.1 %). Focal to bilateral tonic-clonic seizures were observed in 47.5 % of patients. The etiology was acute symptomatic in 35.57 % and remote symptomatic in 24 %. The median hospital stay was 4 days (range: 2.25–10.75 days). The mortality rate was 26.5 %, and 23 % of patients developed epilepsy with a median follow-up of 9 months. Higher age (≥ 50 years), elevated STESS, ICU admission, use of anesthetic agents, refractory status epilepticus (RSE), and new-onset refractory status epilepticus (NORSE) were significant risk factors for mortality (p<0.05). The development of epilepsy was associated with a higher number of antiseizure medications (ASM) at discharge, ICU admission, use of anesthetic agents, RSE, and NORSE (p<0.05). ConclusionNOSE is a neurological emergency with a variable etiology and significant long-term consequences. Approximately one-fourth of patients presenting with NOSE died, and another quarter developed epilepsy during a median follow-up of 9 months. Identifying and addressing the predictors of mortality and epilepsy development following NOSE may improve long-term outcomes.

Association between admission inflammatory indicators and 3-year mortality risk in geriatric patients after hip fracture surgery: a retrospective cohort study.

Recent research indicates that the monocyte lymphocyte ratio (MLR), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), C-reactive protein (CRP), and systemic immune-inflammation index (SII) may serve as valuable predictors of early postoperative mortality in elderly individuals with hip fractures. The primary objective of the study was to examine the association between preoperative MLR, NLR, PLR, CRP, and SII levels and 3-year mortality risk in geriatric patients after hip fracture surgery. The study included patients aged 65 years or older who underwent hip fracture surgery between November 2018 and November 2019. Admission levels of MLR, NLR, PLR, CRP, and SII were measured. The median follow-up period was 3.1 years. Cox proportional hazards models were used to calculate the hazard ratio (HR) for mortality with adjusting for potential covariates. Time-dependent receiver operating characteristic (ROC) curves were employed to assess the predictive capability of inflammatory indicators for mortality. A total of 760 patients completed the follow-up (79.4 ± 7.8 years, 71.1% female). A higher preoperative MLR was found to be significantly associated with an increased 3-year postoperative mortality risk (HR 1.811, 95% CI 1.047-3.132, P = 0.034). However, no significant correlations were observed between preoperative NLR, PLR, CRP, SII and 3-year mortality. The areas under the ROC curve (AUCs) of MLR for predicting 30-day, 120-day, 1-year, and 3-year mortality were 0.74 (95% CI 0.53-0.95), 0.70 (95% CI 0.57-0.83), 0.67 (95% CI 0.60-0.74), and 0.61 (95% CI 0.56-0.66), respectively. Preoperative MLR is a useful inflammatory marker for predicting 3-year mortality in elderly hip fracture patients, but its predictive ability diminishes over time.

Investigation of non-communicable diseases prevalence, patterns, and patient outcomes in hospitalized populations: a prospective observational study in three tertiary hospitals

BackgroundNon-communicable diseases (NCDs) pose a significant global health challenge, constituting over 80% of mortality and morbidity. This burden is particularly pronounced in low- and middle-income countries (LMICs), including Ethiopia. Despite this, there’s limited research on this issue in Africa. This study aims to investigate the prevalence, patterns, and outcomes of NCDs in hospitalized populations across three tertiary hospitals in Ethiopia.MethodsA hospital-based cohort study (August 2022 - January 2023) included patients aged 14 and older diagnosed with cardiovascular diseases (CVDs), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), asthma, or cancer at three Ethiopian hospitals. Data on demographics, socio-economic factors, clinical characteristics, and outcomes were collected through medical records and interviews. Logistic regression identified factors independently associated with in-hospital mortality, with p ≤ 0.05 considered statistically significant.ResultsIn the study across three tertiary hospitals involving 2,237 patients, we uncovered the impact of NCDs. About 23.4% of patients struggled with NCDs, with cardiovascular diseases (53.3%), cancer (29.6%), diabetes (6.1%), and respiratory diseases (6.5%) being the most prevalent. Notably, among those affected, women comprised a slight majority (55.1%), with the average patient age being 47.2 years. Unfortunately, 15.3% of patients with NCDs faced in-hospital mortality. Our analysis revealed predictors of mortality, including cancer diagnosis (adjusted odds ratio [AOR]:1.6, 95% CI: 1.2–1.8, p = 0.01), medication adherence ( AOR: 0.36, 95% CI: 0.21–0.64, p < 0.001), concurrent infections (AOR: 0.36, 95% CI: 0.16–0.86, p < 0.001), chronic kidney diseases (CKD) (AOR: 0.35, 95% CI: 0.14–0.85, p = 0.02), and complications during hospitalization (AOR: 6.36, 95% CI: 3.45–11.71, p < 0.001).ConclusionOur study reveals a substantial prevalence of NCDs among hospitalized patients, affecting approximately one in four individuals, primarily with CVDs and cancer. Alarmingly, a significant proportion of these patients did not survive their hospitalization, emphasizing the urgent need for targeted interventions to enhance outcomes in this population.

Developing molecular classifiers to detect environmental stressors, smolt stages and morbidity in coho salmon, Oncorhynchus kisutch

Aquatic species are increasingly confronted with environmental stressors because of climate change. Although molecular technologies have advanced our understanding of how organisms respond to stressors in laboratory settings, the ability to detect physiological responses to specific stressors under complex field conditions remains underdeveloped. This research applied multi-stressor challenge trials on coho salmon, employing the “Salmon Fit-Chips” genomic tool and a random forest-based classification model to develop classifiers predictive for chronic thermal and hypoxic stress, as well as salinity acclimation, smolt stage and morbidity status. The study also examined how smolts and de-smolts (smolts not having entered SW during the smolt window) responded transcriptionally to exposure to saltwater. Using RF classifiers optimized with 4 to 12 biomarkers, we identified transcriptional signatures that accurately predicted the presence of each stressor and physiological state, achieving prediction accuracy rates between 86.8 % and 100 %, regardless of other background stressors present. Stressor recovery time was established by placing fish back into non-stressor conditions after stress exposure, providing important context to stressor detections in field applications. Recovery from thermal and hypoxic stress requires about 3 and 2 days, respectively, with >3 days needed for re-acclimation to freshwater for seawater acclimated fish. The study also found non-additive (synergistic) effects of multiple stressors on mortality risk. Importantly, osmotic stress associated with de-smolts was the most important predictor of mortality. In saltwater, de-smolts exposed to salinity, high temperature, and hypoxia experienced a 9-fold increase in mortality compared to those only exposed to saltwater, suggesting a synergistic response to multiple stressors. These findings suggest that delays in hatchery releases to support release of larger fish need to be carefully scrutinized to ensure fish are not being released as de-smolts, which are highly susceptible to additional climate-induced stressors like rising temperatures and reduced dissolved oxygen levels in the marine environment.

Fasting hypertriglyceridemia in relation to mortality in an elderly male Chinese population.

We investigated fasting hypertriglyceridemia as predictors of all-cause, cardiovascular, and non-cardiovascular mortality in an elderly male Chinese population, while accounting for various conventional cardiovascular risk factors. Our participants were elderly men recruited from residents living in a suburban town of Shanghai (≥60 years of age, n=1583). Hypertriglyceridemia was defined as a fasting serum triglycerides concentration ≥1.70mmol/L. Subgroup analyses were performed according to current smoking (yes vs. no), alcohol intake (yes vs. no), and the presence and absence of hypertension and hyperglycemia. During a median of 7.9 years follow-up, all-cause, cardiovascular, and non-cardiovascular deaths occurred in 279, 112, and 167 participants, respectively. After adjustment for confounding factors, fasting hypertriglyceridemia was not significantly (p ≥.33) associated with the risk of all-cause, cardiovascular, and non-cardiovascular mortality. However, there was significant (p=.03) interaction between hypertriglyceridemia and the presence and absence of hypertension in relation to all-cause mortality. In normotensive, but not hypertensive individuals, hypertriglyceridemia was significantly associated with a higher risk of all-cause mortality (hazard ratio 1.57, 95% confidence interval 1.06-2.31). In further non-parametric analyses in normotensive individuals, the age-standardized rate for all-cause mortality increased from 18.9 in quartile 1 to 20.0, to 24.7, and to 39.9 per 1000 person-years in quartiles 2, 3, and 4 of serum triglycerides concentration, respectively (ptrend=.0004). Similar results were observed for cardiovascular mortality. Our study in elderly male Chinese showed that fasting hypertriglyceridemia was associated with a higher risk of all-cause and cardiovascular mortality in patients with normotension but not those with hypertension.

Resistin and In-Hospital Mortality in Patients with Acute Ischemic Stroke: A Prospective Study.

Background/Objectives: Understanding the prognostic factors of acute ischemic stroke (AIS) is essential for improving patient outcomes. The aim of this study was to establish the predictive role of plasmatic resistin and leptin on short-term mortality in adult patients with a first episode of AIS. Methods: This study enrolled 277 patients who were consecutively hospitalized for AIS. Demographic data, cardiovascular risk, comorbidities, and laboratory tests were collected. Death was noted if it occurred during hospitalization. Results: Death was recorded in 33 (11.9%) patients. Conducting multivariate analysis, the following variables were independent variables associated with in-hospital mortality: a resistin value of >11 ng/mL (OR 10.81 (95%CI 2.31;50.57), p = 0.002), a lesion volume of >18.8 mL (OR 4.87 (95%CI 1.87;12.67), p = 0.001), a NIHSS score of >7 (OR 5.88 (95%CI 2.01;17.16), p = 0.001), and the presence of IHD (OR 4.33 (95%CI 1.66;11.27), p = 0.003). This study has some limitations: single-center design (which may affect the generalizability of the results) and the potential impact of the COVID-19 pandemic on patient outcomes. Conclusions: This study demonstrated that resistin is a significant predictor of in-hospital mortality in AIS patients. Other established factors, such as a high NIHSS score, large lesion volume, and the presence of IHD, were reaffirmed as important predictors.

Development and validation of a nomogram of all-cause mortality in adult Americans with diabetes

This study aimed to develop and validate a predictive model of all-cause mortality risk in American adults aged ≥ 18 years with diabetes. 7918 participants with diabetes were enrolled from the National Health and Nutrition Examination Survey (NHANES) 1999–2016 and followed for a median of 96 months. The primary study endpoint was the all-cause mortality. Predictors of all-cause mortality included age, Monocytes, Erythrocyte, creatinine, Nutrition Risk Index (NRI), neutrophils/lymphocytes (NLR), smoking habits, alcohol consumption, cardiovascular disease (CVD), urinary albumin excretion rate (UAE), and insulin use. The c-index was 0.790 (95% CI 0.779–0.801, P < 0.001) and 0.792 (95% CI: 0.776–0.808, P < 0.001) for the training and validation sets, respectively. The area under the ROC curve was 0.815, 0.814, 0.827 and 0.812, 0.818 and 0.829 for the training and validation sets at 3, 5, and 10 years of follow-up, respectively. Both calibration plots and DCA curves performed well. The model provides accurate predictions of the risk of death for American persons with diabetes and its scores can effectively determine the risk of death in outpatients, providing guidance for clinical decision-making and predicting prognosis for patients.

Prevalence and prognostic value of malnutrition in patients with IPF using three scoring systems

BackgroundTo describe the nutritional status of IPF patients, report clinical associations and evaluate the prognostic value of them in IPF. Methods264 IPF patients diagnosed with IPF at the Second Xiangya Hospital of Central South University between January 2011 and January 2021 were recruited. Three different scoring systems, including nutritional risk index (NRI), controlling nutritional status (CONUT) score, and prognostic nutritional index (PNI) were used to describe the nutritional status of IPF patients. ResultThis study investigated the prevalence of malnutrition in 264 IPF patients, of which the percentage with malnutrition varied from 37.5 % with the NRI, to 47.4 % with the CONUT score, and to 6.4 % with the PNI. The moderate to severe malnutrition ranged from 10.2 % to 31.1 % across these indices, with PNI identifying only 4.9 % in this category. Worsening malnutrition status was associated with significantly higher incidence of all-cause mortality and IPF death regard of the malnutrition index as NRI (p < 0.05). When the normal nutrition of NRI was used as a reference, patients in the moderate to severe risk remained at a higher risk of all-cause death (HR = 2.06(1.25–3.41)) and IPF death(HR = 2.36(1.35–4.15)). The adjusted multivariate analysis, identified age(HR = 1.13(1.08–1.20)), DLCO <60, % predicted (HR = 3.31(1,24–9.42)) and the use of anti-fibrotic drugs (HR = 0.25(0.10–0.60)) as independent predictors of mortality. ConclusionsMalnutrition is common among patients with IPF and the baseline as diagnosis of IPF is strongly related to increased mortality.

Revisiting the COVID-19 Pandemic: Mortality and Predictors of Death in Adult Patients in the Intensive Care Unit.

COVID-19 has generated a global impact due to its contagiousness and high lethality rates, with a large number of deaths occurring in intensive care units (ICUs). This study aimed to verify the occurrence of and understand the factors related to mortality in adult patients with COVID-19 admitted to the ICU in a tertiary hospital. This is a retrospective cohort study, which included COVID-19 patients admitted between March 2020 and December 2021. A total of 588 patients were included, of whom the majority (55.27%) did not survive. Invasive mechanical ventilation was the strongest predictor of the risk of death in the ICU with OR = 97.85 (95% CI = 39.10-244.86; p < 0.001), along with age and Simplified Acute Physiology Score 3 (SAPS3). The length of the ICU stay was protective. Evaluating patients on invasive mechanical ventilation in isolation, using an adjusted model, we found the following risk factors: use of vasopressin, renal replacement therapy, red cell distribution width > 15, use of hydrocortisone, and age in years. Protective factors included the days of mechanical ventilation use, being admitted from another service, and being of female sex. Identifying early predictors of mortality in patients with COVID-19 who require hospitalization is essential in the search for actions to prevent and manage complications, which can increase the survival of these patients and reduce the impact on health services.

Naples prognostic score as a predictor of mortality in surgical aortic valve replacement.

Aim: Investigating the impact of nutritional and inflammatory status, assessed by the Naples-Prognostic-Score (NPS), on postoperative mortality in 173 older adults undergoing surgical aortic valve replacement(SAVR) for aortic stenosis(AS).Methods: Retrospective study calculating NPS from neutrophils/lymphocytes, lymphocytes/monocytes, total cholesterol and serum albumin.Results: Mean age was 69.39±6.153 with 45.1% females. The post-operative mortality was 23.7% over a follow-up period of 50±31months. The 1-month mortality rate is 2.89%. High NPS significantly associated with increased mortality; multivariate logistic regression confirmed its independence (odds-ratio:3.494, 95% confidence-interval:1.555-7.849, p=0.002). NPS cutoff of 2 showed 73.2% sensitivity, 56.8% specificity and area-under-the-curve of 0.758 for predicting all-cause mortality. Kaplan-Meier analysis supported lower NPS correlating with better survival.Conclusion: NPS independently predicts postoperative mortality in SAVR patients.

Platelet count as a prognostic marker for acute respiratory distress syndrome

BackgroundThis study aimed to evaluate the role of platelet count (PLT) in the prognosis of patients with acute respiratory distress syndrome (ARDS).MethodsThe data were extracted from the Medical Information Mart for Intensive Care database (version 2.2). Patients diagnosed with ARDS according to criteria from Berlin Definition and had the platelet count (PLT) measured within the first day after intensive care unit admission were analyzed. Based on PLT, ARDS patients were divided into four groups: PLT ≤ 100 × 109/L, PLT 101–200 × 109/L, PLT 201–300 × 109/L, and PLT > 300 × 109/L. The primary outcome was 28-day mortality. Survival probabilities were analyzed using Kaplan–Meier. Furthermore, the association between PLT and mortality in ARDS patients was assessed using a univariate and multivariable Cox proportional hazards model.ResultsOverall, the final analysis included 3,207 eligible participants with ARDS. According to the Kaplan–Meier curves for 28-day mortality of PLT, PLT ≤ 100 × 109/L was associated with a higher incidence of mortality (P = 0.001), the same trends were observed in the 60-day (P = 0.001) and 90‐day mortality (P = 0.001). In the multivariate model adjusted for the potential factors, the adjusted hazard ratio at PLT 101–200 × 109/L group, PLT 201–300 × 109/L, and PLT > 300 × 109/L was 0.681 [95% confidence interval (CI): 0.576–0.805, P < 0.001], 0.733 (95% CI: 0.604–0.889, P = 0.002), and 0.787 (95% CI: 0.624–0.994, P = 0.044) compared to the reference group (PLT ≤ 100 × 109/L), respectively. Similar relationships between the PLT ≤ 100 × 109/L group and 28-day mortality were obtained in most subgroups.ConclusionPLT appeared to be an independent predictor of mortality in critically ill patients with ARDS.

Prognostic values of left atrial strain analyzed by four-dimensional speckle tracking echocardiography in uremia with preserved ejection fraction

Little is known about the prognostic value of left atrial strain by four-dimensional speckle-tracking echocardiography in end-stage renal disease patients with preserved left ventricular ejection fraction. This prospective study collected clinical and echocardiographic data from 80 stable dialysis patients (mean age 57 ± 10 years; 62.5% men). All patients underwent the dedicated four-dimensional speckle-tracking echocardiography to measure LASr (peak longitudinal strain of reservoir function), LAScd (peak longitudinal strain of conduit function), LASct (peak longitudinal strain of contractile function), LASr_c (peak circumferential strain of reservoir function), LAScd_c (peak circumferential strain of conduit function) and LASct_c (peak circumferential strain of contractile function). These patients were enrolled from August 2021 to August 2023 and followed-up for 19 months (interquartile-range 15 to 20 months). The primary outcome was a composite of all-cause mortality or major adverse cardiovascular events (MACEs). The study patients were classified into event (developed mortality or MACEs) and event-free group according to the primary outcome. Multivariate Cox regression analysis was used to investigate risk factors for all-cause mortality or MACEs. The event group had lower LASr (16.4% vs. 21.2%, P = 0.0003), LASct (8.2% vs. 11.2%, P = 0.01), LASr_c (25.2% vs. 35.0%, P = 0.0004) and LASct_c (14.9% vs. 20.9%, P = 0.001) than the event-free group. Using optimal cut-off value determined by ROC curve, the less LASr (LASr < 18.5%), LASct (LASct < 8.5%), LASr_c (LASr_c < 28.5%), and LASct_c (LASct_c < 17.5%) group had a higher mortality or MACEs rate. Multivariate cox regression analyses revealed that LASr (HR = 0.81, 95% CI [0.17; 0.91], P = 0.0005, per 1% increase) and LASr_c (HR = 0.93, 95% CI [0.87; 0.98], P = 0.01, per 1% increase) were independent predictors of all-cause mortality or MACEs. Less peak longitudinal and circumferential strains of reservoir function are predictive of poor prognosis among end-stage renal disease patients with preserved left ventricular ejection fraction.